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This is challenge is about hyperparameter tuning (Lectures 1 and 2).
The purpose of this challenge is to test your ability to optimize sequential and non-sequential models for time series forecasting.
This is challenge is about hyperparameter tuning (Lectures 1 and 2).
The purpose of this challenge is to test your ability to optimize sequential and non-sequential models for time series forecasting.
You are required to produce a fully reproducible notebook report explaining all the steps that takes you towards the optimization of a sequential model and a non-sequential model.
You are free to apply the feature sets you created during challenge 1.
You are free to apply hyperparameter tuning on the desired time series.
Challenge dataset contains:
- daily website page views
- hourly website organic searches
- weekly website sales